检索结果-内蒙古大学图书馆

Interval Type-2 Fuzzy Model for Intelligent Fire Intensity Detection Algorithm with Decision Making in Low-Power Devices

引用

Intelligent Automation & Soft Computing 2023年第10期38卷 57-81页

作者： Emmanuel Lule Chomora Mikeka Alexander Ngenzi Didacienne Mukanyiligira African Center of Excellence in Internet of Things(ACEIoT) College of Science&TechnologyUniversity of RwandaNyarugenge-Kigali3900Rwanda Department of Computer Science College of Computing&Information SciencesMakerere UniversityKampala7062Uganda Directorate of Science Technology&Innovation(DSTI)Ministry of EducationMalawiLilongwe328Malawi Department of Computer&Software Engineering College of Science&TechnologyUniversity of RwandaNyarugenge-Kigali3900Rwanda National Council for Science&Technology(NCST) Government of RwandaKigali2285Rwanda

Local markets in East Africa have been destroyed by raging fires,leading to the loss of life and property in the nearby *** circuits,arson,and neglected charcoal stoves are the major causes of these *** methods,i.e.,satellites,are expensive to maintain and cause unnecessary ***,unit-smoke detectors are highly prone to false *** this paper,an Interval Type-2 TSK fuzzy model for an intelligent lightweight fire intensity detection algorithm with decision-making in low-power devices is proposed using a sparse inference rules approach.A free open–source MATLAB/Simulink fuzzy toolbox integrated into MATLAB 2018a is used to investigate the performance of the Interval Type-2 fuzzy *** crisp input parameters,namely:FIT and FIG��are *** show that the Interval Type-2 model achieved an accuracy value of FIO�=98.2%,MAE=1.3010,MSE=1.6938 and RMSE=1.3015 using regression *** study shall assist the firefighting personnel in fully understanding and mitigating the current level of fire *** a result,the proposed solution can be fully implemented in low-cost,low-power fire detection systems to monitor the state of fire with improved accuracy and reduced false *** informed decision-making in low-cost fire detection devices,early warning notifications can be provided to aid in the rapid evacuation of people,thereby improving fire safety surveillance,management,and protection for the market community.

关键词： Interval type-2(IT2)fuzzy systems mean absolute error(MAE) mean square error(MSE) root mean square

来源：评论

学校读者我要写书评

暂无评论

A New Multi-Agent Feature Wrapper Machine Learning Approach for Heart Disease Diagnosis

引用

computers, Materials & Continua 2021年第4期67卷 51-71页

作者： Mohamed Elhoseny Mazin Abed Mohammed Salama A.Mostafa Karrar Hameed Abdulkareem Mashael S.Maashi Begonya Garcia-Zapirain Ammar Awad Mutlag Marwah Suliman Maashi Department of Computer Science College of Computer Information TechnologyAmerican University in the Emirates503000United Arab Emirates College of Computer Science and Information Technology University of AnbarRamadi31001Iraq Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn MalaysiaJohor86400Malaysia College of Agriculture Al-Muthanna UniversitySamawah66001Iraq Department of Software Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11451Saudi Arabia eVIDA Lab University of DeustoBilbao48007Spain Department of Pure Science Ministry of EducationGeneral Directorate of CurriculaBaghdadIraq Department of Medical Laboratory Science Faculty of Applied Medical ScienceKing Abdulaziz UniversityJeddah21589Saudi Arabia

Heart disease(HD)is a serious widespread life-threatening *** heart of patients with HD fails to pump sufcient amounts of blood to the entire *** the occurrence of HD early and efciently may prevent the manifestation of the debilitating effects of this disease and aid in its effective *** methods for diagnosing HD are sometimes unreliable and insufcient in analyzing the related *** an alternative,noninvasive medical procedures based on machine learning(ML)methods provide reliable HD diagnosis and efcient prediction of HD ***,the existing models of automated ML-based HD diagnostic methods cannot satisfy clinical evaluation criteria because of their inability to recognize anomalies in extracted symptoms represented as classication features from patients with *** this study,we propose an automated heart disease diagnosis(AHDD)system that integrates a binary convolutional neural network(CNN)with a new multi-agent feature wrapper(MAFW)*** MAFW model consists of four software agents that operate a genetic algorithm(GA),a support vector machine(SVM),and Naïve Bayes(NB).The agents instruct the GA to perform a global search on HD features and adjust the weights of SVM and BN during initial classication.A nal tuning to CNN is then performed to ensure that the best set of features are included in HD *** CNN consists of ve layers that categorize patients as healthy or with HD according to the analysis of optimized HD *** evaluate the classication performance of the proposed AHDD system via 12 common ML techniques and conventional CNN models by using across-validation technique and by assessing six evaluation *** AHDD system achieves the highest accuracy of 90.1%,whereas the other ML and conventional CNN models attain only 72.3%–83.8%accuracy on ***,the AHDD system proposed herein has the highest capability to identify patients with *** system can be used by medical

关键词： Heart disease machine learning multi-agent feature wrapper model heart disease diagnosis HD cleveland datasets convolutional neural network

来源：评论

学校读者我要写书评

暂无评论

A comprehensive review of deep learning power in steady-state visual evoked potentials

引用

Neural Computing and Applications 2024年第27期36卷 16683-16706页

作者： Al-Qaysi, Z.T. Albahri, A.S. Ahmed, M.A. Hamid, Rula A. Alsalem, M.A. Albahri, O.S. Alamoodi, A.H. Homod, Raad Z. Shayea, Ghadeer Ghazi Duhaim, Ali M. Tikrit Iraq Technical College Imam Ja’afar Al-Sadiq University Baghdad Iraq Baghdad Iraq Department of Management Information Systems College of Administration and Economics University of Mosul Mosul Iraq Australian Technical and Management College Melbourne Australia Computer Techniques Engineering Department Mazaya University College Nasiriyah Iraq Applied Science Research Center Applied Science Private University Amman Jordan Department of Oil and Gas Engineering Basra University of Oil and Gas Basra1004 Iraq Ministry of Education Thi-Qar Education Directorate Thi Qar Iraq MEU Research Unit Middle East University Amman Jordan Baghdad Iraq

Brain–computer interfacing (BCI) research, fueled by deep learning, integrates insights from diverse domains. A notable focus is on steady-state visual evoked potential (SSVEP) in BCI applications, requiring in-depth assessment through deep learning. EEG research frequently employs SSVEPs, which are regarded as normal brain responses to visual stimuli, particularly in investigations of visual perception and attention. This paper tries to give an in-depth analysis of the implications of deep learning for SSVEP-adapted BCI. A systematic search across four stable databases (Web of science, PubMed, scienceDirect, and IEEE) was developed to assemble a vast reservoir of relevant theoretical and scientific knowledge. A comprehensive search yielded 177 papers that appeared between 2010 and 2023. Thence a strict screening method from predetermined inclusion criteria finally generated 39 records. These selected works were the basis of the study, presenting alternate views, obstacles, limitations and interesting ideas. By providing a systematic presentation of the material, it has made a key scholarly contribution. It focuses on the technical aspects of SSVEP-based BCI, EEG technologies and complex applications of deep learning technology in these areas. The study delivers more penetrating reporting on the latest deep learning pattern recognition techniques than its predecessors, together with progress in data acquisition and recording means suitable for SSVEP-based BCI devices. Especially in the realms of deep learning technology orchestration, pattern recognition techniques, and EEG data collection, it has effectively closed four important research gaps. To increase the accessibility of this critical material, the results of the study take the form of easy-to-read tables just generated. Applying deep learning techniques in SSVEP-based BCI applications, as the research shows, also has its downsides. The study concludes that a radical framework will be presented which, include

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

An Enhanced Deep Neural Network Enabled with Cuckoo Search Algorithm for Intrusion Detection in Wide Area Networks 5

An Enhanced Deep Neural Network Enabled with Cuckoo Search A...

引用

5th International Conference on information Technology for Education and Development, ITED 2022

作者： Jimoh, Rasheed Gbenga Imoize, Agbotiname Lucky Awotunde, Joseph Bamidele Ojo, Stephen Akanbi, Mulikat Bola Bamigbaye, Jesufemi Ayotomide Faruk, Nasir University of Ilorin Faculty of Communication and Information Sciences Department of Computer Science Ilorin Nigeria University of Lagos Department of Electrical and Electronics Engineering Nigeria Institute of Digital Communication Ruhr University Department of Electrical Engineering and Information Technology Bochum44801 Germany Anderson University Department of Electrical and Computer Engineering AndersonSC29621 United States Kwara State Polytechnic Department of Computer Science Ilorin Nigeria Sule Lamido University Department of Physics Nigeria SLU Directorate of ICT Nigeria

ISBN: (纸本)9781509064229

A diversity of harmful software has been created as a result of the dramatic increase in internet usage, posing major risks to computer security. There is a great probability that the numerous computing operations performed through the network will be interfered with or altered, and as a result, effective intrusion detection systems are imperative. In addition, the attacks on the network are unpredictable, something that emphasizes the value of creating effective classification and prediction models. Machine learning (ML) and Deep Learning techniques have been used to evaluate datasets for intrusion detection systems (IDS). The employment of the DL-based approach enabled by feature selection helps to address challenges with data quality, handling high-dimensional data, and other related issues. Therefore, due to the large nature and volume of the IDS datasets, and the ability of DL-based models to learn categories incrementally through their hidden layer architecture to produce more accurate results in big data, this study proposes a Long-Short-Term-Memory (LSTM) model, and to further enhance the classification capacity of the projected DL method, the cuckoo search algorithm was introduced to select optimal features from the wireframe. The accuracy and subsequent detection of the suggested model positive and negative rates were evaluated. The experimental results show that the LSTM outperformed some other existing models with the highest classification accuracy of 99.7% and an error rate of 0.006. © 2022 IEEE.

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

Coronavirus: A “Mild” Virus Turned Deadly Infection

引用

computers, Materials & Continua 2021年第5期67卷 2631-2646页

作者： Rizwan Ali Naqvi Muhammad Faheem Mushtaq Natash Ali Mian Muhammad Adnan Khan Atta-ur-Rahman Muhammad Ali Yousaf Muhammad Umair Rizwan Majeed Department of Unmanned Vehicle Engineering Sejong UniversitySeoul05006Korea Department of Information Technology Khwaja Fareed University of Engineering and Information TechnologyRahim Yar Khan64200Pakistan School of Computer and Information Technology Beaconhouse National UniversityTarogilLahore53700Pakistan Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department of Computer Science College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Faculty of Information Technology University of Central PunjabLahore54782Pakistan Directorate of IT The Islamia University of BahawalpurBahawalpur63100Pakistan

Coronaviruses are a family of viruses that can be transmitted from one person to *** strains have only been mild viruses,but the current form,known as coronavirus disease 2019(COVID-19),has become a deadly *** outbreak originated in Wuhan,China,and has since spread *** symptoms of COVID-19 include a dry cough,sore throat,fever,and nasal *** drugs,pathogen–host interaction,and 2 weeks of isolation have been recommended for the treatment of the *** operating procedures,such as the use of face masks,hand sanitizer,handwashing with soap,and social distancing,are also ***,travel bans for cities,states,and countries have been put in place,along with lockdowns to control the *** restrictions,mask use,sanitizer or soap use,and avoidance of touching the face and nose have produced encouraging results,whereas the effectiveness of antibiotics has not been *** results of isolation for the recovery of infected people have also been *** bans and lockdowns have caused a slump in economies,and unemployment has risen sharply,resulting in an increase in mental health cases *** date,vaccines have been developed and are in use in certain countries,but following standard operating procedures remain *** countries following the guidelines can eradicate this *** Zealand was the rst country to eliminate the virus from their territory.

关键词： Coronavirus severe acute respiratory syndrome middle east respiratory syndrome world health organization

来源：评论

学校读者我要写书评

暂无评论

Dataset Infant Anonymization with Pose and Emotion Retention

Dataset Infant Anonymization with Pose and Emotion Retention

引用

International Conference on Automatic Face and Gesture Recognition

作者： Mason Lary Matthew Klawonn Daniel Messinger Ifeoma Nwogu Dept. of Computer Science and Engineering University at Buffalo NY Information Directorate U.S. Air Force Research Lab Dept. of Psychology University of Miami Coral Gables FL USA

ISBN: (数字)9798350394948

ISBN: (纸本)9798350394955

We demonstrate a procedure for the anonymization of infant subjects in videos such that salient behavioral information is retained. This method also creates a new identity that is consistent temporally across video frames. We present an overview of this anonymization process, which involves moving through the latent space of a generative model with an infant specific latent space traversal technique. We apply the technique on videos of infants, a historically difficult source of data, and make comparisons to other state-of-the-art anonymization systems. Metrics demonstrate an improved ability to retain emotional content of videos during the anonymization process, even during extreme emotions or poses, while maintaining a consistent identity throughout.

关键词： Measurement Data privacy computer vision Face recognition Computational modeling Gesture recognition Data collection

来源：评论

学校读者我要写书评

暂无评论

information Theory at the U.S. National science Foundation

IEEE BITS the Information Theory Magazine

引用

IEEE BITS the information Theory Magazine 2021年第1期1卷 69-70页

作者： Phillip A. Regalia Directorate for Computer and Information Science and Engineering National Science Foundation Alexandria VA USA

Reports on the mission and scope of the National science Foundation's computer and information science and engineering (CISE) Core Solicitation (NSF20-6161 that was released in September 2021. The CISE Core encompasses the Communications and information Foundations (CIF) program, the traditional home of information Theory within NSF.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Modified Wavelet Threshold Approach for Reducing Various Noise with Statistical Results

A Modified Wavelet Threshold Approach for Reducing Various N...

引用

2022 International Conference on Artificial Intelligence of Things, ICAIoT 2022

作者： Hamed, Saad Hussein Abed Alhafidh, Omar Khalid Salih Younis, Younis Samir Yahia, Warif B. Meften, Saleem Ali, Ali Hasan Al-Qadisiyah University College of Computer Science and Information Technology Al-Diwaniyah Iraq University of Mosul College of Education for Human Sciences Mosul Iraq Ministry of Education Nineveh Education Directorate Nineveh Iraq Hodeidah University Department of Computer Science and Engineering Al-Hudaydah Yemen University of Basrah College of Education for Pure Sciences Basrah Iraq

ISBN: (纸本)9798350396768

Different types of noise play a role in reducing the details of the images and blur the features which are important in many purposes. Physical and medical images are fractal in nature and especially the ones that are taken from experiments related to a medical field. This work investigates several noise reduction methods and reducing the fractional Brownian motion noise in physical and medical images using a modified wavelet threshold approach. The performance of this approach is analyzed and compared with some other approaches by using PSNR (Peak Signal to Noise Ratio), MSE (Mean Square Error), and other criteria for the validity of the method. © 2022 IEEE.

关键词： Mean square error

来源：评论

学校读者我要写书评

暂无评论

Parameters for Non-Solitons in Fiber and Their Impact on Transmission Performance over Long Distances 6

Parameters for Non-Solitons in Fiber and Their Impact on Tra...

引用

6th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2022

作者： Salih, Mustafa Muhanad M. Alrubaee, Saif H. Dheyab, Abdullah Abdulateef, Ihsan Amjad Abdulsattar, Nejood Faisal Abbas, Fatima Hashim AL Mansour University College Department of Computer Science and Information System Iraq Al-Farahidi University Department of Communication Technical Engineering Baghdad Iraq Al-Anbar Health Directorate Ministry of Health Iraq Altinbas University Department of Electrical and Computer Engineering Turkey College of Information Technology Imam ja'Afar AI-Sadiq University Department of Computer Technical Engineering Al-Muthanna66002 Iraq Al-Mustaqbal University College Medical Laboratories Techniques Department Hillah51001 Iraq

ISBN: (数字)9781665470131

ISBN: (纸本)9781665470131

One area of study that has gained popularity recently is communication technology. Due to the exponential growth in data transfer rates, optical fibre communication (OFC) is the only viable solution. The OFC technology provides extremely high bandwidth and rates of up to several gigabits per second. Optical fibre can carry a lot of data while being quite lightweight. Unfortunately, attenuation, dispersion, and nonlinearity are all phenomena of optical fibre transmission systems that might increase fibre signals. Rather of relying on dispersive effects, an improved approach lies in the use of optical solitons. Different from non-soliton communication systems, solitons do not grow in size as the distance between nodes increases. This research compares and contrasts the efficiency of solitons and non-solitons in fibres. By comparing the eye diagrams and bit error rates, we may deduce that soli-ton-based fibre systems are the most distortion-free, whereas non-soliton-based fibre systems exhibit some level of background noise. © 2022 IEEE.

关键词： Solitons

来源：评论

学校读者我要写书评

暂无评论

Quantum Boltzmann machine learning of ground-state energies

arXiv

引用

arXiv 2024年

作者： Patel, Dhrumil Koch, Daniel Patel, Saahil Wilde, Mark M. Department of Computer Science Cornell University IthacaNY14850 United States Air Force Research Lab Information Directorate RomeNY13441 United States School of Electrical and Computer Engineering Cornell University IthacaNY14850 United States

Estimating the ground-state energy of Hamiltonians is a fundamental task for which it is believed that quantum computers can be helpful. Several approaches have been proposed toward this goal, including algorithms based on quantum phase estimation and hybrid quantum-classical optimizers involving parameterized quantum circuits, the latter falling under the umbrella of the variational quantum eigensolver. Here, we analyze the performance of quantum Boltzmann machines for this task, which is a less explored ansatz based on parameterized thermal states and which is not known to suffer from the barren-plateau problem. We delineate a hybrid quantum-classical algorithm for this task and rigorously prove that it converges to an Ε-approximate stationary point of the energy function optimized over parameter space, while using a number of parameterized-thermal-state samples that is polynomial in Ε−1, the number of parameters, and the norm of the Hamiltonian being optimized. Our algorithm estimates the gradient of the energy function efficiently by means of a novel quantum circuit construction that combines classical sampling, Hamiltonian simulation, and the Hadamard test, thus overcoming a key obstacle to quantum Boltzmann machine learning that has been left open since [Amin et al., Phys. Rev. X 8, 021050 (2018)]. Additionally supporting our main claims are calculations of the gradient and Hessian of the energy function, as well as an upper bound on the matrix elements of the latter that is used in the convergence analysis. Copyright © 2024, The Authors. All rights reserved.

关键词： Quantum computers

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：